Works matching IS 0028646X AND DT 2023 AND VI 237 AND IP 4


Results: 34
    1
    2
    3
    4
    5
    6

    Optimal stomatal theory predicts CO<sub>2</sub> responses of stomatal conductance in both gymnosperm and angiosperm trees.

    Published in:
    New Phytologist, 2023, v. 237, n. 4, p. 1229, doi. 10.1111/nph.18618
    By:
    • Gardner, Anna;
    • Jiang, Mingkai;
    • Ellsworth, David S.;
    • MacKenzie, A. Robert;
    • Pritchard, Jeremy;
    • Bader, Martin Karl‐Friedrich;
    • Barton, Craig V. M.;
    • Bernacchi, Carl;
    • Calfapietra, Carlo;
    • Crous, Kristine Y.;
    • Dusenge, Mirindi Eric;
    • Gimeno, Teresa E.;
    • Hall, Marianne;
    • Lamba, Shubhangi;
    • Leuzinger, Sebastian;
    • Uddling, Johan;
    • Warren, Jeffrey;
    • Wallin, Göran;
    • Medlyn, Belinda E.
    Publication type:
    Article
    7
    8
    9
    10
    11
    12
    13
    14

    Plant hydraulic modelling of leaf and canopy fuel moisture content reveals increasing vulnerability of a Mediterranean forest to wildfires under extreme drought.

    Published in:
    New Phytologist, 2023, v. 237, n. 4, p. 1256, doi. 10.1111/nph.18614
    By:
    • Ruffault, Julien;
    • Limousin, Jean‐Marc;
    • Pimont, François;
    • Dupuy, Jean‐Luc;
    • De Càceres, Miquel;
    • Cochard, Hervé;
    • Mouillot, Florent;
    • Blackman, Chris J.;
    • Torres‐Ruiz, José M.;
    • Parsons, Russell A.;
    • Moreno, Myriam;
    • Delzon, Sylvain;
    • Jansen, Steven;
    • Olioso, Albert;
    • Choat, Brendan;
    • Martin‐StPaul, Nicolas
    Publication type:
    Article
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26

    Phosphorus fractions in leaves.

    Published in:
    New Phytologist, 2023, v. 237, n. 4, p. 1122, doi. 10.1111/nph.18588
    By:
    • Suriyagoda, Lalith D. B.;
    • Ryan, Megan H.;
    • Gille, Clément E.;
    • Dayrell, Roberta L. C.;
    • Finnegan, Patrick M.;
    • Ranathunge, Kosala;
    • Nicol, Dion;
    • Lambers, Hans
    Publication type:
    Article
    27
    28
    29

    Global models and predictions of plant diversity based on advanced machine learning techniques.

    Published in:
    New Phytologist, 2023, v. 237, n. 4, p. 1432, doi. 10.1111/nph.18533
    By:
    • Cai, Lirong;
    • Kreft, Holger;
    • Taylor, Amanda;
    • Denelle, Pierre;
    • Schrader, Julian;
    • Essl, Franz;
    • van Kleunen, Mark;
    • Pergl, Jan;
    • Pyšek, Petr;
    • Stein, Anke;
    • Winter, Marten;
    • Barcelona, Julie F.;
    • Fuentes, Nicol;
    • Inderjit;
    • Karger, Dirk Nikolaus;
    • Kartesz, John;
    • Kuprijanov, Andreij;
    • Nishino, Misako;
    • Nickrent, Daniel;
    • Nowak, Arkadiusz
    Publication type:
    Article
    30
    31
    32
    33
    34

    Issue Information.

    Published in:
    New Phytologist, 2023, v. 237, n. 4, p. 1067, doi. 10.1111/nph.18232
    Publication type:
    Article